Cargando…

Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL

A commonly diagnosed cancer, prostate cancer (PrCa), is being regulated by the gene RNASEL previously known as PRCA1 codes for ribonuclease L which is an integral part of interferon regulated system that mediates antiviral and antiproliferative role of the interferons. Both somatic and germline muta...

Descripción completa

Detalles Bibliográficos
Autores principales: Datta, Amit, Mazumder, Md. Habibul Hasan, Chowdhury, Afrin Sultana, Hasan, Md. Anayet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510121/
https://www.ncbi.nlm.nih.gov/pubmed/26236721
http://dx.doi.org/10.1155/2015/271458
_version_ 1782382121299476480
author Datta, Amit
Mazumder, Md. Habibul Hasan
Chowdhury, Afrin Sultana
Hasan, Md. Anayet
author_facet Datta, Amit
Mazumder, Md. Habibul Hasan
Chowdhury, Afrin Sultana
Hasan, Md. Anayet
author_sort Datta, Amit
collection PubMed
description A commonly diagnosed cancer, prostate cancer (PrCa), is being regulated by the gene RNASEL previously known as PRCA1 codes for ribonuclease L which is an integral part of interferon regulated system that mediates antiviral and antiproliferative role of the interferons. Both somatic and germline mutations have been implicated to cause prostate cancer. With an array of available Single Nucleotide Polymorphism data on dbSNP this study is designed to sort out functional SNPs in RNASEL by implementing different authentic computational tools such as SIFT, PolyPhen, SNPs&GO, Fathmm, ConSurf, UTRScan, PDBsum, Tm-Align, I-Mutant, and Project HOPE for functional and structural assessment, solvent accessibility, molecular dynamics, and energy minimization study. Among 794 RNASEL SNP entries 124 SNPs were found nonsynonymous from which SIFT predicted 13 nsSNPs as nontolerable whereas PolyPhen-2 predicted 28. SNPs found on the 3′ and 5′ UTR were also assessed. By analyzing six tools having different perspectives an aggregate result was produced where nine nsSNPs were found to be most likely to exert deleterious effect. 3D models of mutated proteins were generated to determine the functional and structural effect of the mutations on ribonuclease L. The initial findings were reinforced by the results from I-Mutant and Project HOPE as these tools predicted significant structural and functional instability of the mutated proteins. Expasy-ProSit tool defined the mutations to be situated in the functional domains of the protein. Considering previous analysis this study revealed a conclusive result deducing the available SNP data on the database by identifying the most damaging three nsSNP rs151296858 (G59S), rs145415894 (A276V), and rs35896902 (R592H). As such studies involving polymorphisms of RNASEL were none to be found, the results of the current study would certainly be helpful in future prospects concerning prostate cancer in males.
format Online
Article
Text
id pubmed-4510121
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-45101212015-08-02 Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL Datta, Amit Mazumder, Md. Habibul Hasan Chowdhury, Afrin Sultana Hasan, Md. Anayet Biomed Res Int Research Article A commonly diagnosed cancer, prostate cancer (PrCa), is being regulated by the gene RNASEL previously known as PRCA1 codes for ribonuclease L which is an integral part of interferon regulated system that mediates antiviral and antiproliferative role of the interferons. Both somatic and germline mutations have been implicated to cause prostate cancer. With an array of available Single Nucleotide Polymorphism data on dbSNP this study is designed to sort out functional SNPs in RNASEL by implementing different authentic computational tools such as SIFT, PolyPhen, SNPs&GO, Fathmm, ConSurf, UTRScan, PDBsum, Tm-Align, I-Mutant, and Project HOPE for functional and structural assessment, solvent accessibility, molecular dynamics, and energy minimization study. Among 794 RNASEL SNP entries 124 SNPs were found nonsynonymous from which SIFT predicted 13 nsSNPs as nontolerable whereas PolyPhen-2 predicted 28. SNPs found on the 3′ and 5′ UTR were also assessed. By analyzing six tools having different perspectives an aggregate result was produced where nine nsSNPs were found to be most likely to exert deleterious effect. 3D models of mutated proteins were generated to determine the functional and structural effect of the mutations on ribonuclease L. The initial findings were reinforced by the results from I-Mutant and Project HOPE as these tools predicted significant structural and functional instability of the mutated proteins. Expasy-ProSit tool defined the mutations to be situated in the functional domains of the protein. Considering previous analysis this study revealed a conclusive result deducing the available SNP data on the database by identifying the most damaging three nsSNP rs151296858 (G59S), rs145415894 (A276V), and rs35896902 (R592H). As such studies involving polymorphisms of RNASEL were none to be found, the results of the current study would certainly be helpful in future prospects concerning prostate cancer in males. Hindawi Publishing Corporation 2015 2015-07-08 /pmc/articles/PMC4510121/ /pubmed/26236721 http://dx.doi.org/10.1155/2015/271458 Text en Copyright © 2015 Amit Datta et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Datta, Amit
Mazumder, Md. Habibul Hasan
Chowdhury, Afrin Sultana
Hasan, Md. Anayet
Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL
title Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL
title_full Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL
title_fullStr Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL
title_full_unstemmed Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL
title_short Functional and Structural Consequences of Damaging Single Nucleotide Polymorphisms in Human Prostate Cancer Predisposition Gene RNASEL
title_sort functional and structural consequences of damaging single nucleotide polymorphisms in human prostate cancer predisposition gene rnasel
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510121/
https://www.ncbi.nlm.nih.gov/pubmed/26236721
http://dx.doi.org/10.1155/2015/271458
work_keys_str_mv AT dattaamit functionalandstructuralconsequencesofdamagingsinglenucleotidepolymorphismsinhumanprostatecancerpredispositiongenernasel
AT mazumdermdhabibulhasan functionalandstructuralconsequencesofdamagingsinglenucleotidepolymorphismsinhumanprostatecancerpredispositiongenernasel
AT chowdhuryafrinsultana functionalandstructuralconsequencesofdamagingsinglenucleotidepolymorphismsinhumanprostatecancerpredispositiongenernasel
AT hasanmdanayet functionalandstructuralconsequencesofdamagingsinglenucleotidepolymorphismsinhumanprostatecancerpredispositiongenernasel